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support vector and kernel methods - videolecturesnet
Bookmarked 706 weeks ago the lectures will introduce the kernel methods approach to pattern analysis through the particular example of support vector machines for classification the presentation touches on: generalization optimization dual representation kernel design and algorithmic implementations we then broaden the discussion to consider general kernel methods by introducing different kernels different learning tasks and subspace methods such as kernel pca the aim is to give a view of the subject that will enable a newcomer to the field to gain his bearings so that they can move to apply or develop the techniques for their particular application |
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